基于红外图像的天地线检测方法研究

Horizon Detection Based on Imaging Characteristics of Infrared Images

根据红外图像的成像特性提出了一种天地线精确检测方法。该方法与常见的海天线检测算法不同,在对红外图像进行噪声处理后,通过对比Harr线性特征的方式寻找边缘,以确定天空区域以及准天地线的位置;然后通过对边界能量的分析完成天地线位置的初步检测;最后,利用数值分析的相关技术得到准确完整的天地线。实验结果表明该方法在各种场景均能有效地检测天地线,即使对天空存在云雾的复杂情况也能保持较好的鲁棒性。

An accurate method is proposed for horizon detection according to the imaging characteristics of infrared images. Unlike most previous sea-sky-line detection algorithms,the method employs linear Harr features to gain edges after infrared image de-noising,thus to fix the position of the sky and the quasi horizon. Then,the position of the horizon is detected roughly via analyzing the energy of the margin. Finally,the accurate and complete horizon is acquired by means of the numerical analysis techniques. The experiment results show that the method can detect the horizon effectively in different scenes,and it is robust even if the situation is complex when the sky is overcast with cloud and mist.